Data Analytics and Economic Evaluation for Social Impact

(3 Credit Hours) · Undergraduate

Economics and data science are powerful tools that can improve people’s lives. This course will equip you to: (1) describe data, (2) use machine learning to predict the future, (3) establish cause and effect, and (4) address pressing social challenges using economic frameworks. There will be an emphasis on critical thinking – including the strengths and limitations of impact evaluation – and communicating research findings effectively with stakeholders. The course will feature guest speakers from public policy, tech, and economics. Focus areas will include: poverty alleviation, child protection, upward mobility, human-algorithm interaction, sports and culture, and other topics of student interest. Students will develop and present their own research project during the semester. Basic applied statistics background is recommended but can be waived with permission. This course is ideal for students hoping to see the big picture of an economics major, those in other disciplines passionate about the intersection of data analysis and social challenges, and those hoping to gain perspective on high-impact career opportunities.